[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.] #  @mdancho84 🔥 Matt Dancho (Business Science) 🔥 🔥 Matt Dancho (Business Science) 🔥 posts on X about generative, graph, open ai, python the most. They currently have XXXXXX followers and 1015 posts still getting attention that total XXXXX engagements in the last XX hours. ### Engagements: XXXXX [#](/creator/twitter::815555071517872128/interactions)  - X Week XXXXXXX +132% - X Month XXXXXXX -XX% - X Months XXXXXXXXXX +333% - X Year XXXXXXXXXX +153% ### Mentions: XX [#](/creator/twitter::815555071517872128/posts_active)  - X Week XX -XXXX% - X Month XXX +16% - X Months XXX +44% - X Year XXX +275% ### Followers: XXXXXX [#](/creator/twitter::815555071517872128/followers)  - X Week XXXXXX +0.60% - X Month XXXXXX +1.70% - X Months XXXXXX +25% - X Year XXXXXX +38% ### CreatorRank: XXXXXXX [#](/creator/twitter::815555071517872128/influencer_rank)  ### Social Influence [#](/creator/twitter::815555071517872128/influence) --- **Social category influence** [technology brands](/list/technology-brands) [stocks](/list/stocks) **Social topic influence** [generative](/topic/generative) #83, [graph](/topic/graph), [open ai](/topic/open-ai), [python](/topic/python), [microsoft](/topic/microsoft), [6969](/topic/6969), [$1month](/topic/$1month), [$uber](/topic/$uber), [log](/topic/log), [time a](/topic/time-a) **Top assets mentioned** [Microsoft Corp. (MSFT)](/topic/microsoft) [Uber Technologies, Inc. (UBER)](/topic/$uber) [Alphabet Inc Class A (GOOGL)](/topic/$googl) ### Top Social Posts [#](/creator/twitter::815555071517872128/posts) --- Top posts by engagements in the last XX hours "8. Evaluation: Each PCA component accounts for a certain amount of the total variance in a dataset. The cumulative proportion of variance explained is just the cumulative sum of each PCA's variance explained. Often this is plotted on a Scree plot with Top N PCA components"  [@mdancho84](/creator/x/mdancho84) on [X](/post/tweet/1949072120736067878) 2025-07-26 11:39:40 UTC 82.3K followers, XXX engagements "5. Probability Density Function (Continuous): Continuous distributions are described by a probability density function. The probability of the variable falling within a particular range is given by the area under the curve of the PDF within that range. In a graph a continuous distribution is usually represented by a smooth curve"  [@mdancho84](/creator/x/mdancho84) on [X](/post/tweet/1949133005877870607) 2025-07-26 15:41:36 UTC 82.4K followers, 2390 engagements "Principal Component Analysis (PCA) is the gold standard in dimensionality reduction. But almost every beginner struggles understanding how it works (and why to use it). In X minutes I'll demolish your confusion:"  [@mdancho84](/creator/x/mdancho84) on [X](/post/tweet/1949072057628533137) 2025-07-26 11:39:25 UTC 82.5K followers, 20.5K engagements "I'm excited to introduce my AI Machine Learning Agent that built XX ML models in XX seconds. Today I'll share with you how to automate building 100s of ML models with the AI ML Agent which is available on GitHub. We'll create an ML Agent focusing on a Customer Churn Problem. I'll guide you through setting up the ML Agent creating dozens of ML models and loading the best model for production. This AI is a huge time-saver Table of Contents: 00:00 Introduction to my AI Data Science Team 02:56 Setting Up AI Data Science Team 04:48 Running the ML Agent Code 07:12 Create (and Run) the AI Machine"  [@mdancho84](/creator/x/mdancho84) on [X](/post/tweet/1947328290705813906) 2025-07-21 16:10:18 UTC 82.5K followers, 13.1K engagements "K-means is an essential algorithm for Data Science. But it's confusing for beginners. Let me demolish your confusion:"  [@mdancho84](/creator/x/mdancho84) on [X](/post/tweet/1945868440004128978) 2025-07-17 15:29:23 UTC 82.4K followers, 34.8K engagements "🚨NEW: Awesome Generative AI Data Scientist GitHub Repo LangGraph Ecosystem: X. Prebuilt Agents X. AI Data Science Agents X. LangMem X. LangGraph Supervisor X. Open Deep Research X. LangGraph Reflection X. LangGraph Big Tool X. LangGraph CodeAct X. LangGraph Swarm XX. LangGraph MCP Adapters"  [@mdancho84](/creator/x/mdancho84) on [X](/post/tweet/1948042272076857471) 2025-07-23 15:27:25 UTC 82.4K followers, 7257 engagements "8. Loss Functions: Distributions will come up in Loss Functions in Machine Learning (e.g. XGBoost LightGBM CatBoost). Selecting the right Loss Function can often improve performance. Examples: - Poisson is used for count data. - Tweedie for mixed continuous data with many zeros like intermittent demand forecasting problems"  [@mdancho84](/creator/x/mdancho84) on [X](/post/tweet/1949133018121019453) 2025-07-26 15:41:39 UTC 82.3K followers, 2005 engagements "10. Interpretation: A small p-value (typically 0.05) indicates that the observed data pattern would be unlikely if the null hypothesis were true suggesting that the predictor makes a statistically significant contribution to the model"  [@mdancho84](/creator/x/mdancho84) on [X](/post/tweet/1949854568948392331) 2025-07-28 15:28:50 UTC 82.5K followers, XXX engagements "Data scientists are out. The Generative AI Data Scientist is in. Let me explain:"  [@mdancho84](/creator/x/mdancho84) on [X](/post/tweet/1946894459578286275) 2025-07-20 11:26:25 UTC 82.5K followers, 16.1K engagements "6. EVERY DATA SCIENTIST NEEDS TO LEARN GENERATIVE AI XX% of them are overlooking AI. This is a massive opportunity for you. I'd like to help"  [@mdancho84](/creator/x/mdancho84) on [X](/post/tweet/1949493979864592444) 2025-07-27 15:35:59 UTC 82.4K followers, 3602 engagements "P.S. - Want to become a Generative AI Data Scientist in 2025 On Wednesday August 6th I'm lifting the curtains on one of my best AI Projects: HOW I MADE AN AI CUSTOMER SEGMENTATION AGENT WITH PYTHON (FULL PROJECT) Register here (limit XXX seats):"  [@mdancho84](/creator/x/mdancho84) on [X](/post/tweet/1949794949664280863) 2025-07-28 11:31:56 UTC 82.5K followers, 1740 engagements "My AI data science stack: X. Python ($0) X. Pandas ($0) X. Scikit Learn ($0) X. LangChain ($0) X. LangGraph ($0) X. OpenAI API ($1/month) You can grow into a $200000 career by spending less than $XX this year"  [@mdancho84](/creator/x/mdancho84) on [X](/post/tweet/1947258124164886678) 2025-07-21 11:31:29 UTC 82.5K followers, 28.2K engagements "Every data scientist needs to learn AI in 2025. I want to help. This is how:"  [@mdancho84](/creator/x/mdancho84) on [X](/post/tweet/1948704477780861023) 2025-07-25 11:18:47 UTC 82.3K followers, XXX engagements "🚨Uber launches QueryGPT Natural Language to SQL Using Generative AI"  [@mdancho84](/creator/x/mdancho84) on [X](/post/tweet/1948704453609107884) 2025-07-25 11:18:41 UTC 82.3K followers, 9827 engagements "WANT TO BECOME A GENERATIVE AI DATA SCIENTIST IN 2025 On Wednesday August 6th I'm lifting the curtains on one of my best AI Projects: HOW I MADE AN AI CUSTOMER SEGMENTATION AGENT WITH PYTHON (FULL PROJECT) Register here (limit XXX seats):"  [@mdancho84](/creator/x/mdancho84) on [X](/post/tweet/1949431261946167464) 2025-07-27 11:26:46 UTC 82.4K followers, 2243 engagements "🚨Introducing a new Python library from Stanford University: STORM Generate Wikipedia-like research reports on ANY topic with AI"  [@mdancho84](/creator/x/mdancho84) on [X](/post/tweet/1947622258882511202) 2025-07-22 11:38:26 UTC 82.5K followers, 9246 engagements "6. Coefficient Interpretation (Log-Odds to Odds): Exponentiating a coefficient converts it from log odds to odds. For example if a coefficient is XXX the odds ratio is exp(0.5) which is approximately XXXX. This means that with a one-unit increase in the predictor the odds of the outcome increase by a factor of 1.65"  [@mdancho84](/creator/x/mdancho84) on [X](/post/tweet/1949431252672483827) 2025-07-27 11:26:43 UTC 82.4K followers, 1295 engagements "Logistic Regression is the most important foundational algorithm in Classification Modeling. In X minutes I'll crush your confusion. Let's dive in:"  [@mdancho84](/creator/x/mdancho84) on [X](/post/tweet/1949431220279894527) 2025-07-27 11:26:36 UTC 82.5K followers, 74.3K engagements "2. How Storm Works STORM breaks down generating long articles with citations into two steps: X. Pre-writing stage: The system conducts Internet-based research to collect references and generates an outline. X. Writing stage: The system uses the outline and references to generate the full-length article with citations"  [@mdancho84](/creator/x/mdancho84) on [X](/post/tweet/1947622272459563061) 2025-07-22 11:38:29 UTC 82.4K followers, XXX engagements "4. Core Technology: Docling includes: - PDF Backends for parsing - Layout Analysis Model - Vision-Based Table Formatter - OCR for Text"  [@mdancho84](/creator/x/mdancho84) on [X](/post/tweet/1950216145518067934) 2025-07-29 15:25:37 UTC 82.5K followers, XXX engagements "🚨 BREAKING: Microsoft launches a free Python library that converts ANY document to Markdown Introducing Markitdown. Let me explain. 🧵"  [@mdancho84](/creator/x/mdancho84) on [X](/post/tweet/1949493933106413685) 2025-07-27 15:35:48 UTC 82.5K followers, 186.4K engagements "90% of data scientists struggle with customer segmentation in Python. I have good news. I've been working on a new AI Customer Segmentation Agent. Here are the details (and how you can learn it for free)"  [@mdancho84](/creator/x/mdancho84) on [X](/post/tweet/1946957129664926054) 2025-07-20 15:35:27 UTC 82.4K followers, 8522 engagements "4. Probability Mass Function (Discrete): Discrete distributions are described by a probability mass function which gives the probability that a discrete random variable is exactly equal to some value. In a graph a discrete distribution is often represented by a series of bars where each bar represents the probability of each discrete outcome"  [@mdancho84](/creator/x/mdancho84) on [X](/post/tweet/1949132998353261035) 2025-07-26 15:41:34 UTC 82.4K followers, 2808 engagements "5. Every data scientist needs to learn Generative AI XX% of them are overlooking AI. This is a massive opportunity for you. I'd like to help"  [@mdancho84](/creator/x/mdancho84) on [X](/post/tweet/1950216148730995022) 2025-07-29 15:25:37 UTC 82.5K followers, XXX engagements "9. PROBLEM: EVERY DATA SCIENTIST NEEDS TO LEARN AI IN 2025 XX% of them are overlooking AI. This is a massive opportunity for you. I'd like to help"  [@mdancho84](/creator/x/mdancho84) on [X](/post/tweet/1949133021266743390) 2025-07-26 15:41:40 UTC 82.3K followers, 1572 engagements "4. MS Excel File Conversion Same X lines of code. This time a Markdown Table is returned"  [@mdancho84](/creator/x/mdancho84) on [X](/post/tweet/1949493965243224160) 2025-07-27 15:35:55 UTC 82.4K followers, 4337 engagements "🚨NEW: Awesome Generative AI Data Scientist GitHub Repo Data Science and Analytics AI Agents: X. AI Data Science Team X. PandasAI X. Microsoft Data Formulator X. Jupyter Agent X. Jupyter AI X. WrenAI X. Google GenAI Toolbox X. Vanna AI"  [@mdancho84](/creator/x/mdancho84) on [X](/post/tweet/1948345022773882904) 2025-07-24 11:30:26 UTC 82.4K followers, 4482 engagements "5. JPG Conversion Images can be converted to text too. Note - This requires OpenAI API key to use an LLM to produce the image description"  [@mdancho84](/creator/x/mdancho84) on [X](/post/tweet/1949493975087206404) 2025-07-27 15:35:58 UTC 82.4K followers, 3923 engagements
[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]
🔥 Matt Dancho (Business Science) 🔥 posts on X about generative, graph, open ai, python the most. They currently have XXXXXX followers and 1015 posts still getting attention that total XXXXX engagements in the last XX hours.
Social category influence technology brands stocks
Social topic influence generative #83, graph, open ai, python, microsoft, 6969, $1month, $uber, log, time a
Top assets mentioned Microsoft Corp. (MSFT) Uber Technologies, Inc. (UBER) Alphabet Inc Class A (GOOGL)
Top posts by engagements in the last XX hours
"8. Evaluation: Each PCA component accounts for a certain amount of the total variance in a dataset. The cumulative proportion of variance explained is just the cumulative sum of each PCA's variance explained. Often this is plotted on a Scree plot with Top N PCA components" @mdancho84 on X 2025-07-26 11:39:40 UTC 82.3K followers, XXX engagements
"5. Probability Density Function (Continuous): Continuous distributions are described by a probability density function. The probability of the variable falling within a particular range is given by the area under the curve of the PDF within that range. In a graph a continuous distribution is usually represented by a smooth curve" @mdancho84 on X 2025-07-26 15:41:36 UTC 82.4K followers, 2390 engagements
"Principal Component Analysis (PCA) is the gold standard in dimensionality reduction. But almost every beginner struggles understanding how it works (and why to use it). In X minutes I'll demolish your confusion:" @mdancho84 on X 2025-07-26 11:39:25 UTC 82.5K followers, 20.5K engagements
"I'm excited to introduce my AI Machine Learning Agent that built XX ML models in XX seconds. Today I'll share with you how to automate building 100s of ML models with the AI ML Agent which is available on GitHub. We'll create an ML Agent focusing on a Customer Churn Problem. I'll guide you through setting up the ML Agent creating dozens of ML models and loading the best model for production. This AI is a huge time-saver Table of Contents: 00:00 Introduction to my AI Data Science Team 02:56 Setting Up AI Data Science Team 04:48 Running the ML Agent Code 07:12 Create (and Run) the AI Machine" @mdancho84 on X 2025-07-21 16:10:18 UTC 82.5K followers, 13.1K engagements
"K-means is an essential algorithm for Data Science. But it's confusing for beginners. Let me demolish your confusion:" @mdancho84 on X 2025-07-17 15:29:23 UTC 82.4K followers, 34.8K engagements
"🚨NEW: Awesome Generative AI Data Scientist GitHub Repo LangGraph Ecosystem: X. Prebuilt Agents X. AI Data Science Agents X. LangMem X. LangGraph Supervisor X. Open Deep Research X. LangGraph Reflection X. LangGraph Big Tool X. LangGraph CodeAct X. LangGraph Swarm XX. LangGraph MCP Adapters" @mdancho84 on X 2025-07-23 15:27:25 UTC 82.4K followers, 7257 engagements
"8. Loss Functions: Distributions will come up in Loss Functions in Machine Learning (e.g. XGBoost LightGBM CatBoost). Selecting the right Loss Function can often improve performance. Examples: - Poisson is used for count data. - Tweedie for mixed continuous data with many zeros like intermittent demand forecasting problems" @mdancho84 on X 2025-07-26 15:41:39 UTC 82.3K followers, 2005 engagements
"10. Interpretation: A small p-value (typically 0.05) indicates that the observed data pattern would be unlikely if the null hypothesis were true suggesting that the predictor makes a statistically significant contribution to the model" @mdancho84 on X 2025-07-28 15:28:50 UTC 82.5K followers, XXX engagements
"Data scientists are out. The Generative AI Data Scientist is in. Let me explain:" @mdancho84 on X 2025-07-20 11:26:25 UTC 82.5K followers, 16.1K engagements
"6. EVERY DATA SCIENTIST NEEDS TO LEARN GENERATIVE AI XX% of them are overlooking AI. This is a massive opportunity for you. I'd like to help" @mdancho84 on X 2025-07-27 15:35:59 UTC 82.4K followers, 3602 engagements
"P.S. - Want to become a Generative AI Data Scientist in 2025 On Wednesday August 6th I'm lifting the curtains on one of my best AI Projects: HOW I MADE AN AI CUSTOMER SEGMENTATION AGENT WITH PYTHON (FULL PROJECT) Register here (limit XXX seats):" @mdancho84 on X 2025-07-28 11:31:56 UTC 82.5K followers, 1740 engagements
"My AI data science stack: X. Python ($0) X. Pandas ($0) X. Scikit Learn ($0) X. LangChain ($0) X. LangGraph ($0) X. OpenAI API ($1/month) You can grow into a $200000 career by spending less than $XX this year" @mdancho84 on X 2025-07-21 11:31:29 UTC 82.5K followers, 28.2K engagements
"Every data scientist needs to learn AI in 2025. I want to help. This is how:" @mdancho84 on X 2025-07-25 11:18:47 UTC 82.3K followers, XXX engagements
"🚨Uber launches QueryGPT Natural Language to SQL Using Generative AI" @mdancho84 on X 2025-07-25 11:18:41 UTC 82.3K followers, 9827 engagements
"WANT TO BECOME A GENERATIVE AI DATA SCIENTIST IN 2025 On Wednesday August 6th I'm lifting the curtains on one of my best AI Projects: HOW I MADE AN AI CUSTOMER SEGMENTATION AGENT WITH PYTHON (FULL PROJECT) Register here (limit XXX seats):" @mdancho84 on X 2025-07-27 11:26:46 UTC 82.4K followers, 2243 engagements
"🚨Introducing a new Python library from Stanford University: STORM Generate Wikipedia-like research reports on ANY topic with AI" @mdancho84 on X 2025-07-22 11:38:26 UTC 82.5K followers, 9246 engagements
"6. Coefficient Interpretation (Log-Odds to Odds): Exponentiating a coefficient converts it from log odds to odds. For example if a coefficient is XXX the odds ratio is exp(0.5) which is approximately XXXX. This means that with a one-unit increase in the predictor the odds of the outcome increase by a factor of 1.65" @mdancho84 on X 2025-07-27 11:26:43 UTC 82.4K followers, 1295 engagements
"Logistic Regression is the most important foundational algorithm in Classification Modeling. In X minutes I'll crush your confusion. Let's dive in:" @mdancho84 on X 2025-07-27 11:26:36 UTC 82.5K followers, 74.3K engagements
"2. How Storm Works STORM breaks down generating long articles with citations into two steps: X. Pre-writing stage: The system conducts Internet-based research to collect references and generates an outline. X. Writing stage: The system uses the outline and references to generate the full-length article with citations" @mdancho84 on X 2025-07-22 11:38:29 UTC 82.4K followers, XXX engagements
"4. Core Technology: Docling includes: - PDF Backends for parsing - Layout Analysis Model - Vision-Based Table Formatter - OCR for Text" @mdancho84 on X 2025-07-29 15:25:37 UTC 82.5K followers, XXX engagements
"🚨 BREAKING: Microsoft launches a free Python library that converts ANY document to Markdown Introducing Markitdown. Let me explain. 🧵" @mdancho84 on X 2025-07-27 15:35:48 UTC 82.5K followers, 186.4K engagements
"90% of data scientists struggle with customer segmentation in Python. I have good news. I've been working on a new AI Customer Segmentation Agent. Here are the details (and how you can learn it for free)" @mdancho84 on X 2025-07-20 15:35:27 UTC 82.4K followers, 8522 engagements
"4. Probability Mass Function (Discrete): Discrete distributions are described by a probability mass function which gives the probability that a discrete random variable is exactly equal to some value. In a graph a discrete distribution is often represented by a series of bars where each bar represents the probability of each discrete outcome" @mdancho84 on X 2025-07-26 15:41:34 UTC 82.4K followers, 2808 engagements
"5. Every data scientist needs to learn Generative AI XX% of them are overlooking AI. This is a massive opportunity for you. I'd like to help" @mdancho84 on X 2025-07-29 15:25:37 UTC 82.5K followers, XXX engagements
"9. PROBLEM: EVERY DATA SCIENTIST NEEDS TO LEARN AI IN 2025 XX% of them are overlooking AI. This is a massive opportunity for you. I'd like to help" @mdancho84 on X 2025-07-26 15:41:40 UTC 82.3K followers, 1572 engagements
"4. MS Excel File Conversion Same X lines of code. This time a Markdown Table is returned" @mdancho84 on X 2025-07-27 15:35:55 UTC 82.4K followers, 4337 engagements
"🚨NEW: Awesome Generative AI Data Scientist GitHub Repo Data Science and Analytics AI Agents: X. AI Data Science Team X. PandasAI X. Microsoft Data Formulator X. Jupyter Agent X. Jupyter AI X. WrenAI X. Google GenAI Toolbox X. Vanna AI" @mdancho84 on X 2025-07-24 11:30:26 UTC 82.4K followers, 4482 engagements
"5. JPG Conversion Images can be converted to text too. Note - This requires OpenAI API key to use an LLM to produce the image description" @mdancho84 on X 2025-07-27 15:35:58 UTC 82.4K followers, 3923 engagements
/creator/twitter::mdancho84